Mason Archival Repository Service

IMAGE ANALYSIS OF RADIOLOGICAL IMAGES FROM PATIENTS WITH ADVANCED LUNG DISEASE

Show simple item record

dc.contributor.advisor Kinser, Jason
dc.contributor.author Acharya, Mekhala en_US
dc.creator Acharya, Mekhala en_US
dc.date.accessioned 2013-03-21T15:05:17Z
dc.date.available 2013-03-21T15:05:17Z
dc.date.issued 2012 en_US
dc.identifier.uri http://hdl.handle.net/1920/8068
dc.description.abstract There are diagnostic challenges in the evaluation of a patient with a known or suspected diagnosis of interstitial lung disease [ILD] because of the extensive possibilities of diverse potential diagnoses with similar symptoms. High-Resolution Computed Tomography (HRCT) has changed the diagnostic evaluation of patients with ILD and is particularly useful in the diagnosis of idiopathic pulmonary brosis (IPF). According to NIH, IPF is a disease in which over a period of time the lung tissue becomes thickened, stiff and scarred. The characteristic HRCT findings of IPF are reticular abnormality and honeycombing with basal and peripheral predominance and the radiographic pattern diers with the stage of the disease. en_US
dc.format.extent 141 pages en_US
dc.language.iso en en_US
dc.rights Copyright 2012 Mekhala Acharya en_US
dc.subject Bioinformatics en_US
dc.subject Biostatistics en_US
dc.subject Fast analog associative memory en_US
dc.subject high resolution computed tomography en_US
dc.subject Idiopathic pulmonary Fibrosis en_US
dc.subject Intersecting cortical model en_US
dc.subject Pulse coupled neural network en_US
dc.title IMAGE ANALYSIS OF RADIOLOGICAL IMAGES FROM PATIENTS WITH ADVANCED LUNG DISEASE en_US
dc.type Dissertation en
thesis.degree.level Doctoral en
thesis.degree.discipline Bioinformatics and Computational Biology en
thesis.degree.grantor George Mason University en


Files in this item

This item appears in the following Collection(s)

Show simple item record

Search MARS


Browse

My Account

Statistics